Triple
T28836965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appropriate Adult |
E728208
|
entity |
| Predicate | supportingActressAwardReceivedBy |
—
|
GENERATED |
| Object | Monica Dolan |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportingActressAwardReceivedBy Context triple: [Appropriate Adult, supportingActressAwardReceivedBy, Monica Dolan]
-
A.
supportingActressNominee
Indicates that a person has been nominated for an award in the category of supporting actress.
-
B.
supportingActressRole
Indicates that an actress performs a supporting (non-leading) role in a particular production or work.
-
C.
bestSupportingActressWinner
chosen
Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
-
D.
supportingActorOfWinningFilm
Indicates that an entity is a supporting actor in a film that has won a specified award or competition.
-
E.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 28, 2026, 6:39 a.m.